Yield Curve and Monetary Policy in Nigeria: Investigating the Predictive Power of the Yield Curve

J. Tawose, K. Adedeji, K. Ajayi, A. O. Onah, F. Emma-Nwachukwu
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Abstract

This research paper examines the effectiveness of the yield spread in forecasting future economic activity and inflation in Nigeria. Quarterly data on GDP, Open Buy Back (OBB) Nigerian Treasury Bill (NTB), FGN Bond yields and inflation rates from 2010Q1 – 2020Q1 were employed in conducting this study. The Regression Model was used to establish the relationship among the variables of interest; the yield spread (10-year less 3-month bond) was used to predict output and inflation using the Dynamic and Static Forecasting Model. The projected variables, however, depicted co-movement between the actual and the forecasts in most of the periods. Nevertheless, the behavioral movement of the model was dissimilar at some points (2015-2017). Generally, the results indicated a significant predictive power of the yield spread in forecasting economic activities in the future as stipulated in the literature. The paper recommends the validity and use of the predictive information content embedded in the yield spread as a guide or signal for monetary policy actions and decisions.
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尼日利亚的收益率曲线与货币政策:收益率曲线的预测能力
本研究论文考察了收益率差在预测尼日利亚未来经济活动和通货膨胀方面的有效性。本研究采用了2010年第一季度至2020年第一季度的GDP、公开回购(OBB)尼日利亚国库券(NTB)、FGN债券收益率和通货膨胀率的季度数据。采用回归模型建立感兴趣变量之间的关系;使用动态和静态预测模型,利用收益率差(10年期债券减去3个月债券)来预测产出和通货膨胀。然而,预测的变量描述了在大多数时期实际和预测之间的共同运动。然而,模型的行为运动在某些点(2015-2017)是不同的。总体而言,研究结果表明,在预测未来经济活动时,收益率差具有显著的预测能力。本文建议将嵌入收益率息差的预测信息内容作为货币政策行动和决策的指导或信号的有效性和使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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